Avancerad sökning
Visar resultat 1 - 5 av 634 uppsatser som matchar ovanstående sökkriterier.
1. Vad påverkar skuldsättningen vid högbelånade företagsförvärv : En kvantitativ studie av skuldnivåer vid svenska företagsförvärv
Kandidat-uppsats, Högskolan i Gävle/FöretagsekonomiSammanfattning : Syfte: Utvecklingen av skuldsatta företagsförvärv har genomgått betydande förändringar sedan fenomenet först introducerades på 1980-talet, både vad gäller den totala skuldnivån och val av skuldinstrument. Tidigare forskning erbjuder flera alternativa förklaringar till vad som påverkar skuldsättningen. LÄS MER
2. ON THE CVA OF CREDIT DEFAULT SWAPS: THE IMPLICATION OF DEPENDENCE USING A COPULA APPROACH
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This study examines the nature and background to the Credit Value Adjustment(CVA), a concept that has gained focus due the it’s heightened importance for financial institutions subsequent to the 2008 financial crisis. CVA can be defined as the the price that should be added to the bilateral defaultable contract to adjust for the existing Counterparty Credit Risk (CCR) so that the contract will have the same value as a corresponding risk-free contract. LÄS MER
3. Credit Card Fraud Detection by Nearest Neighbor Algorithms
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. LÄS MER
4. Undersökning av riskarbete i en beslutsprocess för säljkontrakt
Uppsats för yrkesexamina på grundnivå, Linnéuniversitetet/Institutionen för maskinteknik (MT)Sammanfattning : Risks are something that occur daily for all individuals and can arise from a variety of activities. If we don't take these risks into account, we will likely eventually be affected by them. By identifying and analyzing risks, the most appropriate decision can be made to mitigate or avoid the risk completely. LÄS MER
5. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. LÄS MER